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Pulse rhythm

Pulse rhythm

Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac muscle...

Electrocardiogram

Electrocardiogram

An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and the T...

Special considerations while measuring pulse

Special considerations while measuring pulse

Assessing a patient's pulse is a fundamental skill in healthcare, but certain situations require special attention:

Pulse

Pulse

When the heart pumps blood out, arterial elastic fibers play a crucial role in sustaining a high-pressure gradient. They expand to accommodate the received blood and then recoil - a process known as the pulse that can be either manually palpated or electronically quantified. Despite a reduction in its effect with increased distance from the heart, elements of the pulse's systolic and diastolic components persist, observable even at the arteriole level.
The pulse serves as a clinical indicator...

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Related Experiment Video

Updated: Jun 22, 2026

Semi-automated Optical Heartbeat Analysis of Small Hearts

Semi-automated Optical Heartbeat Analysis of Small Hearts

Published on: September 16, 2009

Analytic methods in Project HeartBeat!

Ronald B Harrist¹, Shifan Dai

¹School of Public Health, University of Texas Health Science Center at Houston, 313 E. 12th Street, Austin TX 78701, USA. ronald.b.harrist@uth.tmc.edu

American Journal of Preventive Medicine

|June 16, 2009

Summary

This summary is machine-generated.

Project HeartBeat! tracked cardiovascular disease (CVD) risk factors in youth using multilevel models. Findings on blood pressure, lipids, and obesity patterns can generalize to U.S. children.

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Area of Science:

Pediatrics
Cardiovascular Disease Epidemiology
Biostatistics

Background:

Childhood and adolescence are critical periods for the development of cardiovascular disease (CVD) risk factors.
Understanding the longitudinal patterns of these risk factors is essential for public health interventions.
Project HeartBeat! (1991-1995) was designed to address this knowledge gap.

Purpose of the Study:

To detail the advanced analytic methods, specifically multilevel statistical models, employed in Project HeartBeat!.
To describe the data collection and quality control procedures for a comprehensive CVD risk factor study in youth.
To present an example of multilevel analysis within the study context.

Main Methods:

Utilized an accelerated longitudinal design with three cohorts (baseline ages 8, 11, 14) followed for 4 years.
Collected 12 repeated measurements per child for hemodynamic, lipid, and anthropometric variables.
Applied multilevel statistical models to handle correlated repeated measures and incomplete data, and to assess cohort effects.

Main Results:

Multilevel models effectively analyzed longitudinal CVD risk factor data from 678 children aged 8-18.
Demonstrated patterns of change in blood pressure, serum lipids, and obesity across age, race, and gender.
Confirmed no significant differences between the three age cohorts, supporting data pooling.

Conclusions:

Multilevel models are appropriate for analyzing complex longitudinal CVD risk factor data in pediatric populations.
The identified patterns of CVD risk factors in Project HeartBeat! are generalizable to the broader U.S. child population.
The study provides a robust methodological framework for future pediatric CVD research.